• Journal of Labour Economics
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• v.29 no.3
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• pp.113-150
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• 2006

This study examines how labor unions change in the 21st centry and what is needed for successful transformation of Korean labor union. The study identifies four major driving forces of change in union's role. They are changes in industrial and occupational structures, utilization of information technology, labor substitution, and changing attitude of workers. The effects are decrease in union membership, shrinking coverage of bargaining, weakening voice mechanism, and representation. Thus, labor unions in the 21st centry transform themselves into service union, individual representation system, and worker participation model. Korean labor union, with its current reputation of militant unionism, needs to transform into above mentioned model. Two keys for the change are market competition and family unionism.

• International Area Studies Review
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• v.13 no.2
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• pp.602-616
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• 2009

EU and NAFTA which are huge regional economic blocs came out the world economy at the end of the twentieth century. It is the first that Europe has been trying to establish regional economic integration which is a revolutionary change to world economy. So that regional economic integration of Europe(European Union) has been improving to make a complete economic political integration. This paper analyzes trade creation effect for joining European Union(EU) of Central Eastern European countries with random effect estimation and fixed effect estimation. 12 Central Eastern European countries have become membership states of EU since 2004 is able to get 27.4% of trade increase effect on average between old and new membership countries one another as well as between new membership countries one another respectively. It is very important for some countries have a plan to affiliate to EU in the future to realize such a big effect if they are in.

• The Transactions of the Korea Information Processing Society
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• v.3 no.3
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• pp.471-477
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• 1996

An image edge detection method based on the toll set concept is proposed. Initially the edge structure is established for an image following human perception n model. Then toll set membership values are computed and the toll set intersection and union operators are applied to them. The final toll set membership values are normalized to get the vagueness degrees and the thresholding operation based on entropy concept is performed on them to determine the edge of an image.

• Journal of Labour Economics
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• v.37 no.3
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• pp.45-73
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• 2014

This study analyzes the effect of labor unions in Korean manufacturing industry on wage variance of men from 1988 to 2012. The results are as follows. Firstly, the wage variance within establishments is higher than that between establishments, and the wage variance between establishments in the non-union sector has increased significantly compared to that in the union sector since 2000. There is strong evidence that the latter is due to the solidarity wage policy of unions which has strengthened since the early 2000s. Secondly, the influence of labor unions on the wage structure within the union sector has gotten stronger recently despite the general drop in the labor union membership. Thirdly, since the mid-1990s labor unions have contributed to reducing the overall wage variance. It implies that decline in the unionization rate over the years in Korea is likely to have contributed to increasing wage inequality.

• Structural Engineering and Mechanics
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• v.62 no.4
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• pp.507-517
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• 2017

Due to the discontinuous nature of uncertainty quantification in conventional evidence theory(ET), the computational cost of reliability analysis based on ET model is very high. A novel ET model based on fuzzy distribution and the corresponding combination rule to synthesize the judgments of experts are put forward in this paper. The intersection and union of membership functions are defined as belief and plausible membership function respectively, and the Murfhy's average combination rule is adopted to combine the basic probability assignment for focal elements. Then the combined membership functions are transformed to the equivalent probability density function by a normalizing factor. Finally, a reliability analysis procedure for structures with the mixture of epistemic and aleatory uncertainties is presented, in which the equivalent normalization method is adopted to solve the upper and lower bound of reliability. The effectiveness of the procedure is demonstrated by a numerical example and an engineering example. The results also show that the reliability interval calculated by the suggested method is almost identical to that solved by conventional method. Moreover, the results indicate that the computational cost of the suggested procedure is much less than that of conventional method. The suggested ET model provides a new way to flexibly represent epistemic uncertainty, and provides an efficiency method to estimate the reliability of structures with the mixture of epistemic and aleatory uncertainties.

• Korean Journal of Labor Studies
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• v.24 no.2
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• pp.95-136
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• 2018

As the number of precariats grows, their poor labor rights and working conditions are becoming issues of major concern all over the world but how to represent their interests is still controversial. Basically, the union is the institutional mechanism for representing the labor rights. However, it is difficult for workplaceand enterprise-based unions to fully represent the labor rights of precarious workers. Recently, so-called community unions have emerged in the United States, the United Kingdom, and Japan as independent organizations representing the rights of non-standard workers. Community unions refer to labor unions which organize precarious workers across firms at the regional level. They are known to be suitable for covering the unemployed, job seekers, indirect employment workers, short-term contract workers, and small-firm workers. In South Korea, since the financial crisis in 1997, a dramatic increase in the number of precariats leads to emergence of new types of trade unions such as the Youth Community Union, the Arbeit Workers' Union, the Artist Social Union and the Korea Musician's Union. They have engaged in various activities to guarantee the labor rights of precariats. Recently, researchers have also tried to identify defining characteristics of these new forms of unionism. To expand research on trade unionism in South Korea, this study compares two different types of community unions: the Youth Community Union and the Arbeit Workers' Union. We believe that this attempt can contribute to the research on the alternative labor movement. For this purpose, this study starts with theoretical discussions on community unions, and compares the Youth Community Union with the Arbeit Workers' Union based on the five characteristics of community unionism: membership and organization structure, the recognition struggle, the type or scope of interest, solidarity with other civic organizations, and the repertoire of resistance strategies. Based on this comparative analysis, this study seeks to foresee the possibility of how community unionism will develop in South Korean in the future.

• Journal of the Korean association of regional geographers
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• v.12 no.3
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• pp.382-391
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• 2006

The aim of this research is to classify the 21 container ports in European Union countries using components of competition and co-operation under the well-known methodology, FCM(Fuzzy C-Mean). Through this approach, those 21 ports were classified into six poet groups, and also membership degree of each port within the six port groups were suggested. As results, Rotterdam which positioned Group C, is turned out the most competitive independent port. The next competitive group is found out as Group B which consisted of port of Hamburg and Antwerp. In another point of view, Group A and B which have six and four ports respectively, were needed to search the co-operation strategies. Finally, the lowest competitive port groups in the targeted area were shown as Group D and F.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1228-1229
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• 2011

A novel approach has been promoted for FNN ship controllers. An Electro-hydraulic governor has been widely adopted to the ship speed control of propulsion marine diesel engines for a long time, it was very difficult for Electro-hydraulic governor to regulate the speed of high power engine with long stroke at low speed and low load, because of the jiggling phenomena by rough fluctuation of rotating torque and the hunting phenomena by long dead time occurred in fuel combustion process in the engine cylinder. This paper provides an efficient way for improving control performance by FNN controller. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The performance of controller is evaluated by the system simulation using simulink tools.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1703_1704
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• 2009

Fuzzy neural ship controllers is used in ship steering control. It can make full use of the advantage of all kinds of intelligent algorithms. This provides an efficient way for this paper. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors. Utilizing the designed network to substitute the conventional fuzzy inference, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The ship control quality is effectively improved in case of appending additional sea state disturbance. The performance of controller is evaluated by the system simulation using simulink tools.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.671-672
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• 2008

Hybrid intelligent technique is used in ship steering control. It can make full use of the advantage of all kinds of intelligent algorithms. This provides an efficient way for this paper. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors. Utilizing the designed network to substitute the conventional fuzzy inference, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The ship control quality is effectively improved in case of appending additional sea state disturbance. The performance of controller is evaluated by the system simulation using Matlab.